Soft Computing and Optimization : SCOTA 2021, Ranchi, India, March 26–27 / Syeda Darakhshan Jabeen, Javid Ali, Oscar Castillo editors

• Pubblicazione: Singapore, : Springer, 2022
• Descrizione fisica: xiii, 360 p. : ill. ; 24 cm
• Soggetto topico: 41A25 - Rate of convergence, degree of approximation [MSC 2020]; 49J45 - Methods involving semicontinuity and convergence; relaxation [MSC 2020]; 68Q12 - Quantum algorithms and complexity in the theory of computing [MSC 2020]; 68Q25 - Analysis of algorithms and problem complexity [MSC 2020]; 68T07 - Artificial neural networks and deep learning [MSC 2020]; 68T10 - Pattern recognition, speech recognition [MSC 2020]; 68U10 - Computing methodologies for image processing [MSC 2020]; 90B50 - Management decision making, including multiple objectives [MSC 2020]; 90C25 - Convex programming [MSC 2020]; 90C70 - Fuzzy and other nonstochastic uncertainty mathematical programming [MSC 2020]; 93C42 - Fuzzy control/observation systems [MSC 2020]
• Soggetto non controllato: Artificial Intelligence; Fixed point and algorithms; Fuzzy theory; Machine learning; Neural networks; Optimization theory; Soft Computing
• Persona (resp. second.): Ali, Javid; Castillo, Oscar; Jabeen, Syeda Darakhshan
• Titolo autorizzato: Soft computing and optimization
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00278522
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-981-19-6406-0
• Serie: Springer proceedings in mathematics & statistics Berlin [etc.] . -Springer , 2012- ; 404